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Paper Citation Record · LEDGER

On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2402.06578.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2402.06578 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:57:16.037908Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T20:50:11.470176Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 88e3d928-8b31-4dfd-8d83-496b4f28f577 · inbound

Variational Sequential Optimal Experimental Design using Reinforcement Learning cites this paper.

Variational Sequential Optimal Experimental Design using Reinforcement Learning On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-24T08:24:11.201795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T08:21:09.386442Z digest=sha256:f55132b5406d7bd7421e4a85850ef9f98ab9465b453ec0e783655f69491d031f

Observation 9291e49c-7374-4776-9b9d-f94f1f20373c · inbound

Expert-elicitation method for non-parametric joint priors using normalizing flows cites this paper.

Expert-elicitation method for non-parametric joint priors using normalizing flows On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T13:57:16.037908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:57:16.037908Z digest=sha256:fe04be14f5f4798a1bd5b45175d34936f0216cb5c44b18ca0dfb5895ebd4532e

Observation 6b865e41-8aa7-4a2b-b440-18d27dba116d · inbound

Causally Consistent Normalizing Flow cites this paper.

Causally Consistent Normalizing Flow On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T14:15:01.064563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:15:01.064563Z digest=sha256:a8eee801421b904fec2afd1587c24cf638a29a7a75a541e486e9e5c1681d435d

Observation 3041ad55-2f16-42ff-8066-43701d090b4d · inbound

Computing Optimal Transport Maps and Wasserstein Barycenters Using Conditional Normalizing Flows cites this paper.

Computing Optimal Transport Maps and Wasserstein Barycenters Using Conditional Normalizing Flows On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows

Reference 1982

Resolution
unresolved
no resolver link, observed 2026-08-07T13:16:00.412066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:16:00.412066Z digest=sha256:44081be1e6aa9bae0fe383cb63dd5f6a1c099d4896d16806dafc2b552ecc2cfb

Observation 6b82d9a8-6b39-4aff-8409-1f84a8ba83fc · inbound

Normalizing Flows are Capable Models for Continuous Control cites this paper.

Normalizing Flows are Capable Models for Continuous Control On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T12:49:56.694558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:49:56.694558Z digest=sha256:7b03185fb74d780b53724af27cb4478a86b4f011b7b21c51688db254b618e383

Observation 6eea73d5-72ef-42b2-b15c-f33153e8d84d · inbound

Characterizing Neural Manifolds' Properties and Curvatures using Normalizing Flows cites this paper.

Characterizing Neural Manifolds' Properties and Curvatures using Normalizing Flows On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-07T01:03:45.035121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:03:45.035121Z digest=sha256:4494e2ad6f3f1fbe5256fdf2b7daf365768390466348de75772dca7acb4601a6

Observation cde618c1-7259-415c-b990-a81c235d03c6 · inbound

Multivariate Time Series Anomaly Detection via Dual-Branch Reconstruction and Autoregressive Flow-based Residual Density Estimation cites this paper.

Multivariate Time Series Anomaly Detection via Dual-Branch Reconstruction and Autoregressive Flow-based Residual Density Estimation On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T22:08:04.183306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-14T22:07:21.465258Z digest=sha256:924d43718470796b502f315907ffb3ba4a2df8a235b8f136977b504557db6099

Observation 7fd296d2-0b45-49ae-853a-245134ab6033 · inbound

Expressivity of Bi-Lipschitz Normalizing Flows: A Score-Based Diffusion Perspective cites this paper.

Expressivity of Bi-Lipschitz Normalizing Flows: A Score-Based Diffusion Perspective On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T21:31:14.114407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-08T05:22:13.972012Z digest=sha256:a1dd98b80ebbd42eaf8c4cdbbca9ef7ad3a90727e38f2d9edcff09c495cc070b

Observation befe4f48-fad3-4402-88fd-8b32ded04deb · inbound

Unsupervised Disentanglement Without Compromises : How Functional Orthogonality Enforces Identifiability cites this paper.

Unsupervised Disentanglement Without Compromises : How Functional Orthogonality Enforces Identifiability On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows

Reference 53

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T05:59:37.861762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-26T15:00:18.283411Z digest=sha256:67cee273648c733ae0851c921af23c1c0ff645ad818db49099d71350a73aac71

Observation 58e90766-06f8-4887-9619-1203ee2b8a90 · inbound

MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation cites this paper.

MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T20:50:11.475687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-25T19:34:02.046104Z digest=sha256:9304ed665e34ac1c58c24a0d01111db32f555e7a8cfe84e3adbb5f07dc88cd24

Observation 75b58320-5310-4744-b963-ce2135e04df2 · inbound

MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation cites this paper.

MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T09:35:40.186471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-01T06:27:24.992386Z digest=sha256:8e02e94773c5d27371ac25a01522b81cc33299997d0a6af860ef8f45b4b7dc64

Observation dadd3376-d83c-4b0e-8622-0bd174f8b3a7 · inbound

MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation cites this paper.

MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-12T12:07:02.175855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T12:07:02.175855Z digest=sha256:d1772be78258aae797e9a008ef7eb71413004e598e28663927bac10d97da8465